Alison R. Gregro

499 total citations
8 papers, 80 citations indexed

About

Alison R. Gregro is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, Alison R. Gregro has authored 8 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 2 papers in Spectroscopy. Recurrent topics in Alison R. Gregro's work include Computational Drug Discovery Methods (4 papers), Receptor Mechanisms and Signaling (4 papers) and Mass Spectrometry Techniques and Applications (2 papers). Alison R. Gregro is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Receptor Mechanisms and Signaling (4 papers) and Mass Spectrometry Techniques and Applications (2 papers). Alison R. Gregro collaborates with scholars based in United States and Denmark. Alison R. Gregro's co-authors include M. Katharine Holloway, Sanjeev Munshi, Georgia B. McGaughey, Beth Pietrak, Amy S. Espeseth, Matthew G. Stanton, Kenneth E. Rittle, Harold G. Selnick, Shaun R. Stauffer and James C. Barrow and has published in prestigious journals such as Bioorganic & Medicinal Chemistry Letters, ChemMedChem and ACS Chemical Neuroscience.

In The Last Decade

Alison R. Gregro

7 papers receiving 79 citations

Peers

Alison R. Gregro
Comparison fields: 5 of 28
  • Computational Theory and Mathematics 45
  • Molecular Biology 40
  • Physiology 26
  • Pharmacology 25
  • Organic Chemistry 20
Ylva Gravenfors Sweden
Michael F. Parker United States
Christine Oborski United States
Vijay T. Ahuja United States
Claude Ambroise United States
Natalia Pérez-Macías Spain
Isaac E. Marx United States
Jerry Meng United States
Diana Marek Switzerland
Ylva Gravenfors Sweden View profile →
Citations per field, relative to Alison R. Gregro
Alison R. Gregro · 1×
Citations per year, relative to Alison R. Gregro
Alison R. Gregro · 1×

Countries citing papers authored by Alison R. Gregro

Since Specialization
Citations

This map shows the geographic impact of Alison R. Gregro's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alison R. Gregro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alison R. Gregro more than expected).

Fields of papers citing papers by Alison R. Gregro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alison R. Gregro. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alison R. Gregro. The network helps show where Alison R. Gregro may publish in the future.

Co-authorship network of co-authors of Alison R. Gregro

This figure shows the co-authorship network connecting the top 25 collaborators of Alison R. Gregro. A scholar is included among the top collaborators of Alison R. Gregro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alison R. Gregro. Alison R. Gregro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
# Work Indexed citations
1 0
2 4
3 9
4 8
5 1
6 4
7 17
8 37

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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